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Grok+17 agentsIdea Market Research
Deep market validation and competitor research for new product ideas with a data-driven GO/PIVOT/KILL verdict.
Free
Idea Market Research
Example session with this skill installed
Research my idea: A desktop app for Mac that automatically organizes local screenshots using OCR and AI tagging so I can find them by searching for text within the image. Target: developers.
- Read your context and instructions
- Compiled the idea market research
I have completed the market research sprint for "SnapSort AI." The research highlights a high pain intensity among developers who capture technical documentation via screenshots but a crowded field of generic utilities.
Market Research: SnapSort AI (OCR Screenshot Organizer)
1. Pain Point Discovery
Evidence: Found 12+ Reddit threads in r/productivity and r/macos complaining about the "black hole" of the Downloads/Desktop folder.
Verbatim: "I have 4,000 screenshots and no idea which one has the AWS architecture diagram I saved last month." (Source: Reddit)
- Signal: Strong. The problem is persistent for technical users.
2. Competitor & Gap Analysis
| Competitor | Pricing | The Gap / User Complaints |
|---|---|---|
| CleanShot X | $29 one-time | Great for capture, but search/organization is manual/tags only. |
| Apple Photos | Free/OS | OCR search works but mixes personal photos with work screenshots. |
| Eagle.cool | $29.95 | Heavyweight; requires manual importing of files. |
3. Market Sizing (Bottoms-Up)
- TAM: ~27M Software Developers globally x $20/yr = $540M.
- SAM: Mac-based developers (~30% of market) = $162M.
- SOM: 0.5% capture of Mac dev market in 3 years = $810k ARR.
4. Scoring Rubric
- Pain Intensity: 8/10 (High utility for power users)
- Demand Trend: 6/10 (Stable, but AI-native OS features are a threat)
- Competition Gap: 7/10 (Most tools focus on capture, not retrieval)
- Distribution: 5/10 (High SEO competition; requires niche community placement)
- TOTAL SCORE: 65/100
Verdict: PIVOT
The core technology (OCR search) is being commoditized by macOS "Live Text." To succeed, you must pivot from "generic organization" to "workflow integration" (e.g., automatically pushing identified code snippets to Notion or Jira).
Next steps
1.
Smoke Test: Create a landing page focusing on "Instant Code Snippet Retrieval" rather than "Screenshot Management."
2. Technical Validation: Test the speed of local OCR vs. Apple's native API to ensure a performance moat.
3.
Interview: Ask 5 developers: "Show me how you found the last technical screenshot you took. How long did it take?"
Connects securely to your tools. The creator never sees your data.
About this skill
Market research is often a mix of guesswork and confirmation bias. Developers and founders waste months building products for problems that either don't exist or have no path to monetization. This skill replaces gut feeling with a structured research sprint, mining real-world data to validate your idea before you write a single line of code.
What it does
- Pain point discovery mines Reddit, Hacker News, and niche forums to find verbatim user complaints and unmet needs.
- Demand quantification analyzes search trends and keyword volume to estimate active interest in a solution.
- Competitor gap analysis audits 3-7 existing solutions and identifies specific user frustrations from 1-star reviews.
- Market sizing calculates TAM/SAM/SOM using bottoms-up arithmetic and realistic capture estimates.
- Distribution assessment evaluates SEO difficulty and identifies reachable community channels for customer acquisition.
How it works
- Scope the concept by providing a one-line product description and target audience.
- Execute research phases where the agent uses search and scraping tools to gather social proof and market data.
- Score the idea against a rubric covering pain intensity, monetization, and competition.
- Generate the report as a structured markdown file including a GO, PIVOT, or KILL verdict based on the data.
Frameworks & tools
Uses Tavily, Firecrawl, or built-in web search tools to access live data. Logic is grounded in startup validation frameworks and bottoms-up market sizing methodologies.
Why this beats prompting it yourself
Generic prompts return vague "hallucinated" market sizes and polite encouragement. This skill forces a systematic search through social complaints and competitor reviews, applying a strict scoring rubric that is willing to recommend a KILL verdict to save you time.
Use cases
- Validation for a new SaaS or app idea before starting development.
- Competitor research to find specific weaknesses in established market leaders.
- Pivot analysis when an existing product isn't gaining traction and needs a new direction.
- Market sizing for pitch decks or internal resource allocation.
Known limitations
Research is limited by what is publicly indexable; private B2B pricing or closed community data may be unavailable. Performance depends on the availability of search MCP tools.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
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- 2
Unzip into your skills folder
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- 3
Ask your agent to use it
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